Triple

T17742103
Position Surface form Disambiguated ID Type / Status
Subject FC Basel E442885 entity
Predicate chairman P377 FINISHED
Object David Degen
David Degen is a former Swiss professional footballer who became a leading football executive and co-owner at FC Basel.
E1297779 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: David Degen | Statement: [FC Basel, chairman, David Degen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Degen
Context triple: [FC Basel, chairman, David Degen]
  • A. Mark Deutrom
    Mark Deutrom is an American musician and producer best known as a former bassist for the sludge metal band Melvins and co-founder of the influential label Alchemy Records.
  • B. Andy Jurgensen
    Andy Jurgensen is a film editor known for his work on acclaimed movies such as Licorice Pizza.
  • C. Michael Dokes
    Michael Dokes was an American professional heavyweight boxer and former WBA heavyweight champion known for his fast hands and notable fights during the 1980s and early 1990s.
  • D. Derek Wieland
    Derek Wieland is a keyboardist and composer best known for his work with the symphonic rock group Trans-Siberian Orchestra.
  • E. Greg DePaul
    Greg DePaul is an American screenwriter and playwright best known for co-writing the romantic comedy film "Bride Wars."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: David Degen
Triple: [FC Basel, chairman, David Degen]
Generated description
David Degen is a former Swiss professional footballer who became a leading football executive and co-owner at FC Basel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Degen
Target entity description: David Degen is a former Swiss professional footballer who became a leading football executive and co-owner at FC Basel.
  • A. Mark Deutrom
    Mark Deutrom is an American musician and producer best known as a former bassist for the sludge metal band Melvins and co-founder of the influential label Alchemy Records.
  • B. Andy Jurgensen
    Andy Jurgensen is a film editor known for his work on acclaimed movies such as Licorice Pizza.
  • C. Michael Dokes
    Michael Dokes was an American professional heavyweight boxer and former WBA heavyweight champion known for his fast hands and notable fights during the 1980s and early 1990s.
  • D. Derek Wieland
    Derek Wieland is a keyboardist and composer best known for his work with the symphonic rock group Trans-Siberian Orchestra.
  • E. Greg DePaul
    Greg DePaul is an American screenwriter and playwright best known for co-writing the romantic comedy film "Bride Wars."
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acd780c8190b1308ef0aca00f5c completed April 19, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0328ff60388190af4f7fe30a4c1d7c completed May 12, 2026, 1:19 p.m.
NEDg Description generation batch_6a032b79b55c81909ad92206c44402f5 completed May 12, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_6a032c1200808190982b03ba82dda8cb completed May 12, 2026, 1:33 p.m.
Created at: April 10, 2026, 10:09 a.m.